{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x180 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Guanella \n",
    "\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.signal as signal\n",
    "import scipy.ndimage.filters as filt\n",
    "arena_size = 50\n",
    "\n",
    "arenaX = [0,arena_size]\n",
    "arenaY = [0,arena_size]\n",
    "\n",
    "## Initial position\n",
    "Txx = [arenaX[1]/2]\n",
    "Tyy = [arenaY[1]/2]\n",
    "\n",
    "def conv(ang):\n",
    "    x = np.cos(np.radians(ang)) \n",
    "    y = np.sin(np.radians(ang)) \n",
    "    return x , y\n",
    "\n",
    "def random_navigation(length):\n",
    "    thetaList = []\n",
    "\n",
    "    theta = 90\n",
    "    counter = 0\n",
    "    lenght_counter = 0\n",
    "    for i in range(length):\n",
    "        lenght_counter += 1\n",
    "\n",
    "        prevTheta = np.copy(theta)\n",
    "\n",
    "        if( Txx[-1]<2 ): theta = np.random.randint(-85,85)\n",
    "\n",
    "        if( Txx[-1]>arena_size-2 ): theta = np.random.randint(95,260)\n",
    "\n",
    "        if( Tyy[-1]<2 ): theta = np.random.randint(10,170)\n",
    "\n",
    "        if( Tyy[-1]>arena_size-2 ): theta = np.random.randint(190,350)\n",
    "\n",
    "\n",
    "        Txx.append( Txx[-1]+conv(theta)[0] + np.random.uniform(-0.5,0.5) )\n",
    "        Tyy.append( Tyy[-1]+conv(theta)[1] + np.random.uniform(-0.5,0.5)  )\n",
    "\n",
    "        cx = abs( Txx[-1] - Txx[-2]  )\n",
    "        cy = abs( Tyy[-1] - Tyy[-2]  )\n",
    "        h = np.sqrt( cx**2 + cy**2  )\n",
    "        counter+=h\n",
    "\n",
    "        if(theta != prevTheta or i == length-1):\n",
    "            thetaList.append( [prevTheta, conv(prevTheta)[0], conv(prevTheta)[1], counter]  )\n",
    "            counter = 0\n",
    "    \n",
    "    plt.plot(Txx,Tyy, '-')\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "random_navigation(5000)\n",
    "\n",
    "Txx = np.array(Txx)\n",
    "Tyy = np.array(Tyy)\n",
    "\n",
    "class Grid():\n",
    "    def __init__(self, gain):\n",
    "        \n",
    "        self.mm = 20\n",
    "        self.nn = 20\n",
    "        self.TAO = 0.9\n",
    "        self.II = 0.3\n",
    "        self.SIGMA = 0.24\n",
    "        self.SIGMA2 = self.SIGMA**2\n",
    "        self.TT = 0.05\n",
    "        self.grid_gain = gain\n",
    "        self.grid_layers = len(self.grid_gain)  \n",
    "        self.grid_activity = np.random.uniform(0,1,(self.mm,self.nn,self.grid_layers))  \n",
    "        self.distTri = self.buildTopology(self.mm,self.nn)\n",
    "\n",
    "\n",
    "    def update(self, speedVector):\n",
    "\n",
    "        self.speedVector = speedVector\n",
    "        \n",
    "        grid_ActTemp = []\n",
    "        for jj in range(0,self.grid_layers):\n",
    "            rrr = self.grid_gain[jj]*np.exp(1j*0)\n",
    "            matWeights = self.updateWeight(self.distTri,rrr)\n",
    "            activityVect = np.ravel(self.grid_activity[:,:,jj])\n",
    "            activityVect = self.Bfunc(activityVect, matWeights)\n",
    "            activityTemp = activityVect.reshape(self.mm,self.nn)\n",
    "            activityTemp += self.TAO *( activityTemp/np.mean(activityTemp) - activityTemp)\n",
    "            activityTemp[activityTemp<0] = 0\n",
    "\n",
    "            self.grid_activity[:,:,jj] = (activityTemp-np.min(activityTemp))/(  np.max(activityTemp)-np.min(activityTemp)) * 30  ##Eq 2\n",
    "                        \n",
    "\n",
    "    def buildTopology(self,mm,nn):  # Build connectivity matrix     ### Eq 4\n",
    "        mmm = (np.arange(mm)+(0.5/mm))/mm\n",
    "        nnn = ((np.arange(nn)+(0.5/nn))/nn)*np.sqrt(3)/2\n",
    "        xx,yy = np.meshgrid(mmm, nnn)\n",
    "        posv = xx+1j * yy\n",
    "        Sdist = [ 0+1j*0, -0.5+1j*np.sqrt(3)/2, -0.5+1j*(-np.sqrt(3)/2), 0.5+1j*np.sqrt(3)/2, 0.5+1j*(-np.sqrt(3)/2), -1+1j*0, 1+1j*0]      \n",
    "        xx,yy = np.meshgrid( np.ravel(posv) , np.ravel(posv) )\n",
    "        distmat = xx-yy\n",
    "        for ii in range(len(Sdist)):\n",
    "            aaa1 = abs(distmat)\n",
    "            rrr = xx-yy + Sdist[ii]\n",
    "            aaa2 = abs(rrr)\n",
    "            iii = np.where(aaa2<aaa1)\n",
    "            distmat[iii] = rrr[iii]\n",
    "        return distmat.transpose()\n",
    "\n",
    "    def updateWeight(self,topology,rrr): # Slight update on weights based on speed vector.\n",
    "        matWeights = self.II * np.exp((-abs(topology-rrr*self.speedVector)**2)/self.SIGMA2) - self.TT   ## Eq 3\n",
    "        return matWeights\n",
    "\n",
    "    def Bfunc(self,activity, matWeights):  ## Eq 1\n",
    "        activity += np.dot(activity,matWeights)\n",
    "        return activity\n",
    "# this produces grid cells with different scales. Change the list to just one scale for one module\n",
    "scale = [0.04,0.05,0.06,0.07,0.08]\n",
    "grid = Grid(scale)\n",
    "\n",
    "log_grid_cells = []\n",
    "for i in range(1,Txx.size):\n",
    "\n",
    "    speedVector = (Txx[i]-Txx[i-1])+1j*(Tyy[i]-Tyy[i-1])\n",
    "\n",
    "    grid.update(speedVector)\n",
    "    log_grid_cells.append( grid.grid_activity.flatten()  )\n",
    "    \n",
    "log_grid_cells = np.array(log_grid_cells)\n",
    "xx = np.copy(Txx[1:])\n",
    "yy = np.copy(Tyy[1:])\n",
    "dv_levels = [0,5,10]\n",
    "plt.figure(figsize=(18,2.5))\n",
    "ax = plt.axes()\n",
    "\n",
    "dv_levels = 10\n",
    "dv_start = 25\n",
    "for cell_num in np.arange(dv_levels):\n",
    "\n",
    "    celula = log_grid_cells[:,dv_start+cell_num]\n",
    "\n",
    "    pos_spike_idx = np.where( celula > celula.max()*.9 )[0]\n",
    "\n",
    "    \n",
    "    plt.subplot(1,dv_levels,cell_num+1)\n",
    "    plt.plot(xx,yy)\n",
    "    plt.scatter(   xx[pos_spike_idx] , yy[pos_spike_idx], 'or' )\n",
    "    #ax.set_aspect('equal', 'box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000,)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xx.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "sspikes = log_grid_cells[:,np.arange(1,len(log_grid_cells[0,:]),5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim = 6\n",
    "ph_classes = [0,1] # Decode the ith most persistent cohomology class\n",
    "num_circ = len(ph_classes)\n",
    "dec_tresh = 0.99\n",
    "metric = 'cosine'\n",
    "maxdim = 1\n",
    "coeff = 47\n",
    "k = 1000\n",
    "n_points = 1200\n",
    "nbs = 800\n",
    "sigma = 1500\n",
    "movetimes = np.arange(len(sspikes[:,0]))\n",
    "dim_red_spikes_move_scaled,__,__ = pca(preprocessing.scale(sspikes[:,:]), dim = dim)\n",
    "indstemp,dd,fs  = sample_denoising(dim_red_spikes_move_scaled,  k, \n",
    "                                    n_points, 1, metric)\n",
    "dim_red_spikes_move_scaled = dim_red_spikes_move_scaled[indstemp,:]\n",
    "X = squareform(pdist(dim_red_spikes_move_scaled, metric))\n",
    "knn_indices = np.argsort(X)[:, :nbs]\n",
    "knn_dists = X[np.arange(X.shape[0])[:, None], knn_indices].copy()\n",
    "sigmas, rhos = smooth_knn_dist(knn_dists, nbs, local_connectivity=0)\n",
    "rows, cols, vals = compute_membership_strengths(knn_indices, knn_dists, sigmas, rhos)\n",
    "result = coo_matrix((vals, (rows, cols)), shape=(X.shape[0], X.shape[0]))\n",
    "result.eliminate_zeros()\n",
    "transpose = result.transpose()\n",
    "prod_matrix = result.multiply(transpose)\n",
    "result = (result + transpose - prod_matrix)\n",
    "result.eliminate_zeros()\n",
    "d = result.toarray()\n",
    "d = -np.log(d)\n",
    "np.fill_diagonal(d,0)\n",
    "\n",
    "persistence = ripser(d, maxdim=maxdim, coeff=coeff, do_cocycles= True, distance_matrix = True)    \n",
    "\n",
    "plot_barcode(persistence['dgms'])    \n",
    "plt.show()\n",
    "\n",
    "############ Decode cocycles ################\n",
    "diagrams = persistence[\"dgms\"] # the multiset describing the lives of the persistence classes\n",
    "cocycles = persistence[\"cocycles\"][1] # the cocycle representatives for the 1-dim classes\n",
    "dists_land = persistence[\"dperm2all\"] # the pairwise distance between the points \n",
    "births1 = diagrams[1][:, 0] #the time of birth for the 1-dim classes\n",
    "deaths1 = diagrams[1][:, 1] #the time of death for the 1-dim classes\n",
    "deaths1[np.isinf(deaths1)] = 0\n",
    "lives1 = deaths1-births1 # the lifetime for the 1-dim classes\n",
    "iMax = np.argsort(lives1)\n",
    "coords1 = np.zeros((num_circ, len(indstemp)))\n",
    "threshold = births1[iMax[-2]] + (deaths1[iMax[-2]] - births1[iMax[-2]])*dec_tresh\n",
    "for c in ph_classes:\n",
    "    cocycle = cocycles[iMax[-(c+1)]]\n",
    "    coords1[c,:],inds = get_coords(cocycle, threshold, len(indstemp), dists_land, coeff)\n",
    "\n",
    "num_neurons = len(sspikes[0,:])\n",
    "centcosall = np.zeros((num_neurons, 2, n_points))\n",
    "centsinall = np.zeros((num_neurons, 2, n_points))\n",
    "dspk = preprocessing.scale(sspikes[movetimes[indstemp],:])\n",
    "\n",
    "for neurid in range(num_neurons):\n",
    "    spktemp = dspk[:, neurid].copy()\n",
    "    centcosall[neurid,:,:] = np.multiply(np.cos(coords1[:, :]*2*np.pi),spktemp)\n",
    "    centsinall[neurid,:,:] = np.multiply(np.sin(coords1[:, :]*2*np.pi),spktemp)\n",
    "    \n",
    "dspk = preprocessing.scale(sspikes)\n",
    "\n",
    "a = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    a[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centcosall[n,:,:],1))\n",
    "\n",
    "c = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    c[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centsinall[n,:,:],1))\n",
    "\n",
    "mtot2 = np.sum(c,2)\n",
    "mtot1 = np.sum(a,2)\n",
    "coords = np.arctan2(mtot2,mtot1)%(2*np.pi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1.4902930983104414,\n",
       " 51.47581346335624,\n",
       " -1.4671790623227385,\n",
       " 51.58782073380345)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.viridis()\n",
    "plt.figure()\n",
    "ax = plt.axes()\n",
    "ax.scatter(xx, yy, c = np.cos(coords[:,0]))\n",
    "ax.set_aspect('equal', 'box')\n",
    "plt.axis('off')\n",
    "plt.figure()\n",
    "ax = plt.axes()\n",
    "ax.scatter(xx, yy, c = np.cos(coords[:,1]))\n",
    "ax.set_aspect('equal', 'box')\n",
    "plt.axis('off')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savez('Toroidal_topology_grid_cell_data/Results/guanella_data', sspikes = log_grid_cells)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Couey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:79: DeprecationWarning: scipy.zeros is deprecated and will be removed in SciPy 2.0.0, use numpy.zeros instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:85: DeprecationWarning: scipy.ravel is deprecated and will be removed in SciPy 2.0.0, use numpy.ravel instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:86: DeprecationWarning: scipy.zeros is deprecated and will be removed in SciPy 2.0.0, use numpy.zeros instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:87: DeprecationWarning: scipy.zeros is deprecated and will be removed in SciPy 2.0.0, use numpy.zeros instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:92: DeprecationWarning: scipy.ravel is deprecated and will be removed in SciPy 2.0.0, use numpy.ravel instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:93: DeprecationWarning: scipy.ravel is deprecated and will be removed in SciPy 2.0.0, use numpy.ravel instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:95: DeprecationWarning: scipy.zeros is deprecated and will be removed in SciPy 2.0.0, use numpy.zeros instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:97: DeprecationWarning: scipy.cos is deprecated and will be removed in SciPy 2.0.0, use numpy.cos instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:103: DeprecationWarning: scipy.sin is deprecated and will be removed in SciPy 2.0.0, use numpy.sin instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:119: DeprecationWarning: scipy.rand is deprecated and will be removed in SciPy 2.0.0, use numpy.random.rand instead\n",
      "C:\\Users\\erihe\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:121: DeprecationWarning: scipy.maximum is deprecated and will be removed in SciPy 2.0.0, use numpy.maximum instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#### Couey\n",
    "xx,yy,__,__ = load_pos('R','OF','day1',bSpeed = False)\n",
    "\n",
    "dxx =  xx[:100000]#gaussian_filter1d(xx,10)\n",
    "dyy =  yy[:100000]#gaussian_filter1d(yy,10)\n",
    "speeds = np.zeros(len(dxx))\n",
    "speeds[1:] =np.sqrt(np.square(dxx[1:]-dxx[:-1]) + np.square(dyy[1:]-dyy[:-1]))*1000\n",
    "speeds[0] = speeds[1]\n",
    "angs = np.zeros(len(dxx))\n",
    "angs[1:] = np.arctan2(dyy[1:]-dyy[:-1],dxx[1:]-dxx[:-1])\n",
    "angs[0] = angs[1]\n",
    "posx = xx[np.arange(0,180000,2)]\n",
    "posy = yy[np.arange(0,180000,2)]\n",
    "post = np.arange(0,180000,2)/100\n",
    "#xx,yy = xx[np.arange(0,15000,10)],yy[np.arange(0,15000,10)]\n",
    "dxx =  xx[:100000]#gaussian_filter1d(xx,10)\n",
    "dyy =  yy[:100000]#gaussian_filter1d(yy,10)\n",
    "#dxx,dyy = dxx[np.arange(0,50000,1)],dyy[np.arange(0,50000,1)]\n",
    "#num_steps = len(dxx)\n",
    "speeds = np.zeros(len(dxx))\n",
    "speeds[1:] =np.sqrt(np.square(dxx[1:]-dxx[:-1]) + np.square(dyy[1:]-dyy[:-1]))*1000\n",
    "speeds[0] = speeds[1]\n",
    "angs = np.zeros(len(dxx))\n",
    "angs[1:] = np.arctan2(dyy[1:]-dyy[:-1],dxx[1:]-dxx[:-1])\n",
    "angs[0] = angs[1]\n",
    "posx = xx[np.arange(0,180000,2)]\n",
    "posy = yy[np.arange(0,180000,2)]\n",
    "post = np.arange(0,180000,2)/100\n",
    "post = post[np.isfinite(posx)]\n",
    "posy = posy[np.isfinite(posx)]\n",
    "posx = posx[np.isfinite(posx)]\n",
    "post = post[np.isfinite(posy)]\n",
    "posx = posx[np.isfinite(posy)]\n",
    "posy = posy[np.isfinite(posy)]\n",
    "post *= 1000\n",
    "\n",
    "side = max(max(posx)-min(posx), max(posy)-min(posy))\n",
    "posx *= 1./side\n",
    "posy *= 1./side\n",
    "posx -= min(posx)\n",
    "posy -= min(posy)\n",
    "\n",
    "tnew = np.arange(0, 599000, 1)\n",
    "posx = np.interp(tnew, post, posx)\n",
    "posy = np.interp(tnew, post, posy)\n",
    "post = tnew\n",
    "\n",
    "#Get angles and velocities\n",
    "angs = np.zeros(len(post))\n",
    "angs[:-1] = np.arctan2(posy[1:]-posy[:-1], posx[1:]-posx[:-1])\n",
    "angs[-1] = angs[-2]\n",
    "speeds = 1000.*np.sqrt((posx[1:]-posx[:-1])**2+(posy[1:]-posy[:-1])**2)\n",
    "nums = len(speeds)\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as animation\n",
    "import os\n",
    "from scipy import *\n",
    "import scipy.io\n",
    "\n",
    "numbumps = 4 \n",
    "# parameters of the model\n",
    "extinp = 1.\n",
    "alpha = 0.15\n",
    "ell = 2.\n",
    "inh = -0.02\n",
    "R  = 15.\n",
    "Nx = 28\n",
    "Ny = 44\n",
    "\n",
    "if(numbumps==4):\n",
    "    Nx*=2\n",
    "if(numbumps==8):\n",
    "    Nx*=2\n",
    "    Ny*=2\n",
    "NG=Nx*Ny \n",
    "\n",
    "### MAKE CONNECTIVITY WITH AN OFFSET RELATIVE TO PREFERRED DIRECTION\n",
    "theta = zeros([Nx,Ny])\n",
    "theta[0:Nx:2,0:Ny:2] = 0\n",
    "theta[1:Nx:2,0:Ny:2] = 1\n",
    "theta[0:Nx:2,1:Ny:2] = 2\n",
    "theta[1:Nx:2,1:Ny:2] = 3\n",
    "theta = 0.5*pi*theta\n",
    "theta = ravel(theta)\n",
    "xes = zeros([Nx,Ny])\n",
    "yes = zeros([Nx,Ny])\n",
    "for x in range(Nx):\n",
    "    for y in range(Ny):\n",
    "        xes[x,y] = x\n",
    "        yes[x,y] = y\n",
    "xes = ravel(xes)\n",
    "yes = ravel(yes)\n",
    "Rsqrd = R**2\n",
    "W = zeros([NG,NG])\n",
    "for xi in range(Nx):\n",
    "    xdiffA = abs(xes-xi-ell*cos(theta))\n",
    "    xdiffB = Nx-xdiffA\n",
    "    xdiffA = xdiffA**2\n",
    "    xdiffB = xdiffB**2\n",
    "    for y in range(Ny):\n",
    "        n = xi*Ny+y\n",
    "        ydiffA = abs(yes-y-ell*sin(theta))\n",
    "        ydiffB = Ny-ydiffA\n",
    "        ydiffA = ydiffA**2\n",
    "        ydiffB = ydiffB**2\n",
    "        d = xdiffA+ydiffA\n",
    "        W[d<Rsqrd,n] += inh\n",
    "        d = xdiffB+ydiffA\n",
    "        W[d<Rsqrd,n] += inh\n",
    "        d = xdiffA+ydiffB\n",
    "        W[d<Rsqrd,n] += inh\n",
    "        d = xdiffB+ydiffB\n",
    "        W[d<Rsqrd,n] += inh\n",
    "xes=0\n",
    "yes=0\n",
    "N = NG\n",
    "\n",
    "S = (rand(Nx*Ny) > 0.1)*1.0\n",
    "for t in range(2000):\n",
    "    S = S + 0.1*(-S + maximum((extinp+np.matmul(S,W)),0.))\n",
    "    S[S<0.00001] = 0.\n",
    "\n",
    "maxS = max(np.ravel(S))\n",
    "minx = min([min(posy),min(posx)])\n",
    "maxx = max([max(posy),max(posx)])\n",
    "whichn = np.arange(len(S))#random.sample(np.arange(len(S)), 100)\n",
    "nodes1 = np.zeros([len(whichn), nums])\n",
    "\n",
    "fig = plt.figure(13)\n",
    "plt.plot([],[],'-')\n",
    "#print animation.writers.avail\n",
    "\n",
    "for t in range(0, nums):\n",
    "    S = S + 0.1*(-S + np.maximum((extinp+np.matmul(S,W)+alpha*speeds[t]*np.cos(angs[t]-theta)),0.))\n",
    "    if(np.mod(t,10)==0):\n",
    "        S[S<0.0001] = 0.\n",
    "    nodes1[:,t] = S#[]#>0.3*maxS ##some fake spikes\n",
    "    if(np.mod(t,5000)==0 and t>2):\n",
    "        print('%2.2f percent done'%(float(t)*100/float(nums)))\n",
    "from scipy.stats import binned_statistic_2d, pearsonr\n",
    "num_neurons = len(nodes1[:,0])\n",
    "inds = np.arange(num_neurons)\n",
    "np.random.shuffle(inds)\n",
    "for i in inds[:5]:\n",
    "    mtot, x_edge, y_edge, circ = binned_statistic_2d(posx[:t],posy[:t], nodes1[i,:t], \n",
    "        statistic='mean', bins=50, range=None, expand_binnumbers=True)\n",
    "    plt.figure()\n",
    "    plt.imshow(mtot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savez('Toroidal_topology_grid_cell_data/Results/couey_data', sspikes = nodes1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "sspikes = nodes1.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "ename": "MemoryError",
     "evalue": "Unable to allocate 11.0 GiB for an array with shape (598999, 2464) and data type float64",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mMemoryError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-42-6e681b4a06cc>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     12\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     13\u001b[0m \u001b[0mmovetimes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msspikes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m40\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m \u001b[0mdim_red_spikes_move_scaled\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0m__\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0m__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpca\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpreprocessing\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscale\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msspikes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdim\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdim\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     15\u001b[0m indstemp,dd,fs  = sample_denoising(dim_red_spikes_move_scaled,  k, \n\u001b[0;32m     16\u001b[0m                                     n_points, 1, metric)\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36minner_f\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     61\u001b[0m             \u001b[0mextra_args\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mall_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     62\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mextra_args\u001b[0m \u001b[1;33m<=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 63\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     64\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     65\u001b[0m             \u001b[1;31m# extra_args > 0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\sklearn\\preprocessing\\_data.py\u001b[0m in \u001b[0;36mscale\u001b[1;34m(X, axis, with_mean, with_std, copy)\u001b[0m\n\u001b[0;32m    161\u001b[0m     X = check_array(X, accept_sparse='csc', copy=copy, ensure_2d=False,\n\u001b[0;32m    162\u001b[0m                     \u001b[0mestimator\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'the scale function'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFLOAT_DTYPES\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 163\u001b[1;33m                     force_all_finite='allow-nan')\n\u001b[0m\u001b[0;32m    164\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0msparse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0missparse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    165\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mwith_mean\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36minner_f\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     61\u001b[0m             \u001b[0mextra_args\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mall_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     62\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mextra_args\u001b[0m \u001b[1;33m<=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 63\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     64\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     65\u001b[0m             \u001b[1;31m# extra_args > 0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)\u001b[0m\n\u001b[0;32m    738\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    739\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcopy\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmay_share_memory\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marray_orig\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 740\u001b[1;33m         \u001b[0marray\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    741\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    742\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMemoryError\u001b[0m: Unable to allocate 11.0 GiB for an array with shape (598999, 2464) and data type float64"
     ]
    }
   ],
   "source": [
    "dim = 6\n",
    "ph_classes = [0,1] # Decode the ith most persistent cohomology class\n",
    "num_circ = len(ph_classes)\n",
    "dec_tresh = 0.99\n",
    "metric = 'cosine'\n",
    "maxdim = 1\n",
    "coeff = 47\n",
    "k = 1000\n",
    "n_points = 1200\n",
    "nbs = 800\n",
    "sigma = 1500\n",
    "\n",
    "movetimes = np.arange(0, len(sspikes[:,0]), 40)\n",
    "dim_red_spikes_move_scaled,__,__ = pca(preprocessing.scale(sspikes[:,:]), dim = dim)\n",
    "indstemp,dd,fs  = sample_denoising(dim_red_spikes_move_scaled,  k, \n",
    "                                    n_points, 1, metric)\n",
    "dim_red_spikes_move_scaled = dim_red_spikes_move_scaled[indstemp,:]\n",
    "X = squareform(pdist(dim_red_spikes_move_scaled, metric))\n",
    "knn_indices = np.argsort(X)[:, :nbs]\n",
    "knn_dists = X[np.arange(X.shape[0])[:, None], knn_indices].copy()\n",
    "sigmas, rhos = smooth_knn_dist(knn_dists, nbs, local_connectivity=0)\n",
    "rows, cols, vals = compute_membership_strengths(knn_indices, knn_dists, sigmas, rhos)\n",
    "result = coo_matrix((vals, (rows, cols)), shape=(X.shape[0], X.shape[0]))\n",
    "result.eliminate_zeros()\n",
    "transpose = result.transpose()\n",
    "prod_matrix = result.multiply(transpose)\n",
    "result = (result + transpose - prod_matrix)\n",
    "result.eliminate_zeros()\n",
    "d = result.toarray()\n",
    "d = -np.log(d)\n",
    "np.fill_diagonal(d,0)\n",
    "\n",
    "persistence = ripser(d, maxdim=maxdim, coeff=coeff, do_cocycles= True, distance_matrix = True)    \n",
    "\n",
    "plot_barcode(persistence['dgms'])    \n",
    "plt.show()\n",
    "\n",
    "############ Decode cocycles ################\n",
    "diagrams = persistence[\"dgms\"] # the multiset describing the lives of the persistence classes\n",
    "cocycles = persistence[\"cocycles\"][1] # the cocycle representatives for the 1-dim classes\n",
    "dists_land = persistence[\"dperm2all\"] # the pairwise distance between the points \n",
    "births1 = diagrams[1][:, 0] #the time of birth for the 1-dim classes\n",
    "deaths1 = diagrams[1][:, 1] #the time of death for the 1-dim classes\n",
    "deaths1[np.isinf(deaths1)] = 0\n",
    "lives1 = deaths1-births1 # the lifetime for the 1-dim classes\n",
    "iMax = np.argsort(lives1)\n",
    "coords1 = np.zeros((num_circ, len(indstemp)))\n",
    "threshold = births1[iMax[-2]] + (deaths1[iMax[-2]] - births1[iMax[-2]])*dec_tresh\n",
    "for c in ph_classes:\n",
    "    cocycle = cocycles[iMax[-(c+1)]]\n",
    "    coords1[c,:],inds = get_coords(cocycle, threshold, len(indstemp), dists_land, coeff)\n",
    "\n",
    "num_neurons = len(sspikes[0,:])\n",
    "centcosall = np.zeros((num_neurons, 2, n_points))\n",
    "centsinall = np.zeros((num_neurons, 2, n_points))\n",
    "dspk = preprocessing.scale(sspikes[movetimes[indstemp],:])\n",
    "\n",
    "for neurid in range(num_neurons):\n",
    "    spktemp = dspk[:, neurid].copy()\n",
    "    centcosall[neurid,:,:] = np.multiply(np.cos(coords1[:, :]*2*np.pi),spktemp)\n",
    "    centsinall[neurid,:,:] = np.multiply(np.sin(coords1[:, :]*2*np.pi),spktemp)\n",
    "    \n",
    "dspk = preprocessing.scale(sspikes)\n",
    "\n",
    "a = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    a[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centcosall[n,:,:],1))\n",
    "\n",
    "c = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    c[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centsinall[n,:,:],1))\n",
    "\n",
    "mtot2 = np.sum(c,2)\n",
    "mtot1 = np.sum(a,2)\n",
    "coords = np.arctan2(mtot2,mtot1)%(2*np.pi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "######## Square Torus ################ \n",
    "\n",
    "num_points = 2500\n",
    "sspikes = np.zeros((num_points,4))\n",
    "xx = np.zeros(num_points)\n",
    "yy = np.zeros(num_points)\n",
    "rot_mat = []\n",
    "x,y = np.meshgrid(np.linspace(0,1, 52)[1:-1], np.linspace(0,1, 52)[1:-1])\n",
    "x,y = np.meshgrid(np.linspace(0,1, int(np.sqrt(num_points))+2)[1:-1],  \n",
    "                  np.linspace(0,1, int(np.sqrt(num_points))+2)[1:-1])\n",
    "x = x.flatten()*2*np.pi\n",
    "y = y.flatten()*2*np.pi\n",
    "for n in range(num_points):\n",
    "    u,v = x[n],y[n]\n",
    "    u += np.random.rand()*0.05\n",
    "    v += np.random.rand()*0.05   \n",
    "    f1 = np.cos(u)\n",
    "    f2 = np.sin(u)\n",
    "    f3 = np.cos(v)\n",
    "    f4 = np.sin(v)\n",
    "    sspikes[n,:] = (f1,f2,f3,f4)\n",
    "    xx[n] = u\n",
    "    yy[n] = v\n",
    "\n",
    "\n",
    "dim = 6\n",
    "ph_classes = [0,1] # Decode the ith most persistent cohomology class\n",
    "num_circ = len(ph_classes)\n",
    "dec_tresh = 0.99\n",
    "metric = 'cosine'\n",
    "maxdim = 1\n",
    "coeff = 47\n",
    "num_neurons = len(sspikes[0,:])\n",
    "active_times = 15000\n",
    "k = 1000\n",
    "num_times = 5\n",
    "n_points = 1200\n",
    "nbs = 800\n",
    "\n",
    "dim_red_spikes_move_scaled = preprocessing.scale(sspikes[:,:])\n",
    "indstemp,dd,fs  = sample_denoising(dim_red_spikes_move_scaled,  k, \n",
    "                                    n_points, 1, metric)\n",
    "dim_red_spikes_move_scaled = dim_red_spikes_move_scaled[indstemp,:]\n",
    "X = squareform(pdist(dim_red_spikes_move_scaled, metric))\n",
    "knn_indices = np.argsort(X)[:, :nbs]\n",
    "knn_dists = X[np.arange(X.shape[0])[:, None], knn_indices].copy()\n",
    "sigmas, rhos = smooth_knn_dist(knn_dists, nbs, local_connectivity=0)\n",
    "rows, cols, vals = compute_membership_strengths(knn_indices, knn_dists, sigmas, rhos)\n",
    "result = coo_matrix((vals, (rows, cols)), shape=(X.shape[0], X.shape[0]))\n",
    "result.eliminate_zeros()\n",
    "transpose = result.transpose()\n",
    "prod_matrix = result.multiply(transpose)\n",
    "result = (result + transpose - prod_matrix)\n",
    "result.eliminate_zeros()\n",
    "d = result.toarray()\n",
    "d = -np.log(d)\n",
    "np.fill_diagonal(d,0)\n",
    "\n",
    "############ Compute persistent homology ################\n",
    "rips_real = ripser(d, maxdim=maxdim, coeff=coeff, do_cocycles=True, distance_matrix = True)\n",
    "plot_barcode(rips_real['dgms'])    \n",
    "\n",
    "diagrams = rips_real[\"dgms\"] # the multiset describing the lives of the persistence classes\n",
    "cocycles = rips_real[\"cocycles\"][1] # the cocycle representatives for the 1-dim classes\n",
    "dists_land = rips_real[\"dperm2all\"] # the pairwise distance between the points \n",
    "births1 = diagrams[1][:, 0] #the time of birth for the 1-dim classes\n",
    "deaths1 = diagrams[1][:, 1] #the time of death for the 1-dim classes\n",
    "deaths1[np.isinf(deaths1)] = 0\n",
    "lives1 = deaths1-births1 # the lifetime for the 1-dim classes\n",
    "iMax = np.argsort(lives1)\n",
    "coords1 = np.zeros((num_circ, len(indstemp)))\n",
    "call = np.zeros((num_circ, len(sspikes[:,0])))\n",
    "threshold = births1[iMax[-2]] + (deaths1[iMax[-2]] - births1[iMax[-2]])*dec_tresh\n",
    "for c in ph_classes:\n",
    "    cocycle = cocycles[iMax[-(c+1)]]\n",
    "    coords1[c,:],inds = get_coords(cocycle, threshold, len(indstemp), dists_land, coeff)\n",
    "\n",
    "\n",
    "for c in ph_classes:\n",
    "    cocycle = cocycles[iMax[-(c+1)]]\n",
    "    coords1[c,:],inds = get_coords(cocycle, threshold, len(indstemp), dists_land, coeff)\n",
    "centcosall = np.zeros((num_neurons, 2, 1200))\n",
    "centsinall = np.zeros((num_neurons, 2, 1200))\n",
    "\n",
    "dspk = preprocessing.scale(sspikes[indstemp,:])#[movetimes[indstemp],:])\n",
    "\n",
    "k = 1200\n",
    "for neurid in range(num_neurons):\n",
    "    spktemp = dspk[:, neurid].copy()\n",
    "    centcosall[neurid,:,:] = np.multiply(np.cos(coords1[:, :]*2*np.pi),spktemp)\n",
    "    centsinall[neurid,:,:] = np.multiply(np.sin(coords1[:, :]*2*np.pi),spktemp)\n",
    "\n",
    "dspk = preprocessing.scale(sspikes)\n",
    "a = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    a[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centcosall[n,:,:],1))\n",
    "\n",
    "c = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    c[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centsinall[n,:,:],1))\n",
    "\n",
    "\n",
    "mtot2 = np.sum(c,2)\n",
    "mtot1 = np.sum(a,2)\n",
    "coordsnew = np.arctan2(mtot2,mtot1)%(2*np.pi)\n",
    "plt.viridis()\n",
    "plt.figure()\n",
    "ax = plt.axes()\n",
    "ax.scatter(xx, yy, c = np.cos(coordsnew[:,0]))\n",
    "ax.set_aspect('equal', 'box')\n",
    "plt.axis('off')\n",
    "plt.figure()\n",
    "ax = plt.axes()\n",
    "ax.scatter(xx, yy, c = np.cos(coordsnew[:,1]))\n",
    "ax.set_aspect('equal', 'box')\n",
    "plt.axis('off')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "######## Hexagonal Torus ################ \n",
    "\n",
    "a_1 = 1\n",
    "a_2 = 1\n",
    "b_3 = 1\n",
    "b_1 = 1/np.sqrt(3)\n",
    "b_2 = -1/np.sqrt(3)\n",
    "#b_1 = np.sqrt(3)/2\n",
    "#b_2 = -np.sqrt(3)/2\n",
    "C_1 = 1\n",
    "C_2 = 1\n",
    "C_3 = 1\n",
    "num_points = 2500\n",
    "sspikes = np.zeros((num_points,6))\n",
    "xx = np.zeros(num_points)\n",
    "yy = np.zeros(num_points)\n",
    "rot_mat = []\n",
    "#x,y = np.meshgrid(np.linspace(0,1, 52)[1:-1], np.linspace(0,1, 52)[1:-1])\n",
    "x,y = np.meshgrid(np.linspace(0,1, int(np.sqrt(num_points))+1)[:-1],  \n",
    "                  np.linspace(0,1, int(np.sqrt(num_points))+1))\n",
    "x = x.flatten()*2*np.pi\n",
    "y = y.flatten()*2*np.pi\n",
    "for n in range(num_points):\n",
    "    u,v = x[n],y[n]\n",
    "    u += np.random.rand()*0.1\n",
    "    v += np.random.rand()*0.1    \n",
    "    f1 = C_1 *np.cos(a_1*u + b_1*v)\n",
    "    f2 = C_1 *np.sin(a_1*u + b_1*v)\n",
    "    f3 = C_2 *np.cos(a_2*u + b_2*v)\n",
    "    f4 = C_2 *np.sin(a_2*u + b_2*v)\n",
    "    f5 = C_3 *np.cos(b_3*v)\n",
    "    f6 = C_3 *np.sin(b_3*v)\n",
    "    sspikes[n,:] = (f1,f2,f3,f4,f5,f6)\n",
    "    xx[n] = u\n",
    "    yy[n] = v\n",
    "\n",
    "\n",
    "dim = 6\n",
    "ph_classes = [0,1] # Decode the ith most persistent cohomology class\n",
    "num_circ = len(ph_classes)\n",
    "dec_tresh = 0.99\n",
    "metric = 'cosine'\n",
    "maxdim = 1\n",
    "coeff = 47\n",
    "num_neurons = len(sspikes[0,:])\n",
    "active_times = 15000\n",
    "k = 1000\n",
    "num_times = 5\n",
    "n_points = 1200\n",
    "nbs = 800\n",
    "\n",
    "dim_red_spikes_move_scaled = preprocessing.scale(sspikes[:,:])\n",
    "indstemp,dd,fs  = sample_denoising(dim_red_spikes_move_scaled,  k, \n",
    "                                    n_points, 1, metric)\n",
    "dim_red_spikes_move_scaled = dim_red_spikes_move_scaled[indstemp,:]\n",
    "X = squareform(pdist(dim_red_spikes_move_scaled, metric))\n",
    "knn_indices = np.argsort(X)[:, :nbs]\n",
    "knn_dists = X[np.arange(X.shape[0])[:, None], knn_indices].copy()\n",
    "sigmas, rhos = smooth_knn_dist(knn_dists, nbs, local_connectivity=0)\n",
    "rows, cols, vals = compute_membership_strengths(knn_indices, knn_dists, sigmas, rhos)\n",
    "result = coo_matrix((vals, (rows, cols)), shape=(X.shape[0], X.shape[0]))\n",
    "result.eliminate_zeros()\n",
    "transpose = result.transpose()\n",
    "prod_matrix = result.multiply(transpose)\n",
    "result = (result + transpose - prod_matrix)\n",
    "result.eliminate_zeros()\n",
    "d = result.toarray()\n",
    "d = -np.log(d)\n",
    "np.fill_diagonal(d,0)\n",
    "\n",
    "############ Compute persistent homology ################\n",
    "rips_real = ripser(d, maxdim=maxdim, coeff=coeff, do_cocycles=True, distance_matrix = True)\n",
    "plot_barcode(rips_real['dgms'])    \n",
    "\n",
    "diagrams = rips_real[\"dgms\"] # the multiset describing the lives of the persistence classes\n",
    "cocycles = rips_real[\"cocycles\"][1] # the cocycle representatives for the 1-dim classes\n",
    "dists_land = rips_real[\"dperm2all\"] # the pairwise distance between the points \n",
    "births1 = diagrams[1][:, 0] #the time of birth for the 1-dim classes\n",
    "deaths1 = diagrams[1][:, 1] #the time of death for the 1-dim classes\n",
    "deaths1[np.isinf(deaths1)] = 0\n",
    "lives1 = deaths1-births1 # the lifetime for the 1-dim classes\n",
    "iMax = np.argsort(lives1)\n",
    "coords1 = np.zeros((num_circ, len(indstemp)))\n",
    "call = np.zeros((num_circ, len(sspikes[:,0])))\n",
    "threshold = births1[iMax[-2]] + (deaths1[iMax[-2]] - births1[iMax[-2]])*dec_tresh\n",
    "for c in ph_classes:\n",
    "    cocycle = cocycles[iMax[-(c+1)]]\n",
    "    coords1[c,:],inds = get_coords(cocycle, threshold, len(indstemp), dists_land, coeff)\n",
    "\n",
    "\n",
    "for c in ph_classes:\n",
    "    cocycle = cocycles[iMax[-(c+1)]]\n",
    "    coords1[c,:],inds = get_coords(cocycle, threshold, len(indstemp), dists_land, coeff)\n",
    "centcosall = np.zeros((num_neurons, 2, 1200))\n",
    "centsinall = np.zeros((num_neurons, 2, 1200))\n",
    "\n",
    "dspk = preprocessing.scale(sspikes[indstemp,:])#[movetimes[indstemp],:])\n",
    "\n",
    "k = 1200\n",
    "for neurid in range(num_neurons):\n",
    "    spktemp = dspk[:, neurid].copy()\n",
    "    centcosall[neurid,:,:] = np.multiply(np.cos(coords1[:, :]*2*np.pi),spktemp)\n",
    "    centsinall[neurid,:,:] = np.multiply(np.sin(coords1[:, :]*2*np.pi),spktemp)\n",
    "\n",
    "dspk = preprocessing.scale(sspikes)\n",
    "a = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    a[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centcosall[n,:,:],1))\n",
    "\n",
    "c = np.zeros((len(sspikes[:,0]), 2, num_neurons))\n",
    "for n in range(num_neurons):\n",
    "    c[:,:,n] = np.multiply(dspk[:,n:n+1],np.sum(centsinall[n,:,:],1))\n",
    "\n",
    "\n",
    "mtot2 = np.sum(c,2)\n",
    "mtot1 = np.sum(a,2)\n",
    "coordsnew = np.arctan2(mtot2,mtot1)%(2*np.pi)\n",
    "plt.viridis()\n",
    "plt.figure()\n",
    "ax = plt.axes()\n",
    "ax.scatter(xx, yy, c = np.cos(coordsnew[:,0]))\n",
    "ax.set_aspect('equal', 'box')\n",
    "plt.axis('off')\n",
    "plt.figure()\n",
    "ax = plt.axes()\n",
    "ax.scatter(xx, yy, c = np.cos(coordsnew[:,1]))\n",
    "ax.set_aspect('equal', 'box')\n",
    "plt.axis('off')\n"
   ]
  }
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